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Magesh, S.
- Taylor Based Grey Wolf Optimization Algorithm (TGWOA) For Energy Aware Secure Routing Protocol
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Authors
Affiliations
1 Department of Management, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, ID
2 Department of Computer Science, Sri Aravindar Engineering College, Villupuram, Tamil Nadu, IN
3 Department of Computer Science, Sri Malolan College of Arts and Science, Kanchipuram, Tamil Nadu, IN
4 Maruthi Technocrat E Services, Chennai, Tamil Nadu, IN
5 School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, IN
1 Department of Management, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, ID
2 Department of Computer Science, Sri Aravindar Engineering College, Villupuram, Tamil Nadu, IN
3 Department of Computer Science, Sri Malolan College of Arts and Science, Kanchipuram, Tamil Nadu, IN
4 Maruthi Technocrat E Services, Chennai, Tamil Nadu, IN
5 School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 7, No 4 (2020), Pagination: 93-102Abstract
Wireless Sensor Network (WSN) design to be efficient expects better energy optimization methods as nodes in WSN are operated only through batteries. In WSN, energy is a challenging one in the network during transmission of data. To overcome the energy issue in WSN, Taylor based Grey Wolf Optimization algorithm proposed, which is the integration of the Taylor series with Grey Wolf Optimization approach finding optimal hops to accomplish multi-hop routing. This paper shows the multiple objective-based approaches developed to achieve secure energy-aware multi-hop routing. Moreover, secure routing is to conserve energy efficiently during routing. The proposed method achieves 23.8% of energy, 75% of Packet Delivery Ratio, 35.8% of delay, 53.2% of network lifetime, and 84.8% of scalability.Keywords
Taylor Series, Grey Wolf Optimization, Multi-hop Routing, Energy Efficiency, SecurityFull Text
References
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- Concepts and Contributions of Edge Computing in Internet of Things (IoT): A Survey
Abstract Views :295 |
PDF Views:0
Authors
Affiliations
1 Maruthi Technocrat E Services, Chennai, Tamil Nadu, IN
2 Department of Information Science and Technology, Anna University, CEG, Chennai, Tamil Nadu, IN
3 Department of Computer Applications, Dr. M.G.R Educational and Research Institute, Chennai, Tamil Nadu, IN
1 Maruthi Technocrat E Services, Chennai, Tamil Nadu, IN
2 Department of Information Science and Technology, Anna University, CEG, Chennai, Tamil Nadu, IN
3 Department of Computer Applications, Dr. M.G.R Educational and Research Institute, Chennai, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 7, No 5 (2020), Pagination: 146-156Abstract
Edge has become a growing trend in recent years. Bringing computing and analytics remarkably close to the data where it originated is the leading cause of edge computing. As the data is growing day by day, there arises the bottleneck in computation and network layers. Due to the enormous growth of Internet of Things (IoT) devices with its recent applications, the need for real-time computation has readily driven edge computing. Today data processing is an excellent paradigm for real-time data. In the integration of various IoT devices to solve the computing perplexities, created the emergence of the Edge computing. This paper clarifies concepts and contributions of edge computing associated with IoT devices. The proposed work produces a thumbnail survey on edge computing and its performance management towards IoT devices. The characteristics and architecture of Edge computing over IoT devices are furnished. The state-of-the-art on edge computing applications in the real-time scenario is discussed in this article. The proposed work explores the key benefits of Edge computing towards IoT devices, along with the comparative principles of edge computing over the Cloud, are represented. The existing challenges of edge computing are also discussed in this work.Keywords
Edge Computing, IoT Devices, Data Processing, Performance Computing.Full Text
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